搜索资源列表
SIFT-06-10-21
- 去年暑假编的SIFT特征提取算法，步骤作了详细叙述，其中用到几个OPENCV读取图片函数。解压密码jlh。-last summer addendum to the sciences feature extraction algorithm, described in detail the steps, Some of them used to read Photo OPENCV function. Jlh extract passwords.
MeanShiftTracking
- 国外一个大牛人写的MEAN-SHIFT目标跟踪算法，程序使用了OPENCV函数库。-abroad a large cattle written by MEAN - SHIFT target tracking algorithm, OPENCV procedures for the use of the libraries.
facerecognition
- 采用OpenCV进行人脸识别，隐马尔科夫链的应用，由混合分量来分割HMM的每个内在状态的所有观测值，运用现有的图像观测值分割为所有嵌入和内部的HMM函数，计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the
pointset
- 基于OPenCV的源码，用于分割而为点集，函数执行二次方程的算法，将集合拆分成一个或更多的等效类。-Based on the source OPenCV for partition and for the point set, function to implement the algorithm quadratic equation will be split into a set of equivalent or more categories.
OpenCVMatlab
- OpenCV库的Matlab函数封装调用 cvlib_mex封装了OpenCV库大约30个函数，OpenCV是当前流行的实时计算机视觉库，拥有很多的图像处理的算法。-cvlib_mex is a collection (over two dozens) of matlab callable routines from the OpenCV library www.intel.com/research/mrl/research/opencv/). OpenCV is a real time
Kinematics
- 6自由度机器人Jacobian(雅克比)矩阵计算类！MLGetIdentityMat为获得单位矩阵 cvInvert取逆 MLMatMulti_3矩阵相乘没有给出定义请大家自己完成，其中cvInvert为OpenCV库函数！-A computal class for 6 degree of freedom robot Jacobian Matrix.MLGetIdentityMat is the function to get a Identity Matri.MLMatMulti_3 is t
CaGHSDFHiftatlab
- 一个Camshitft算法，虽然opencv有Camshift函数，但是用matlab写能更好的了解原理。-A Camshitft algorithm, although there Camshift opencv functions, but using matlab to write a better understanding of the principles.
CCamShift-mata
- Camshitft算法，虽然opencv有Camshiift函数，但是用matlab写能更好的了解原理，呵呵！ -Camshitft algorithm, although the opencv the Camshiift functions, but to write a better understanding of the principle of using matlab, huh, huh!
main
- 这个在VC++平台下面，基于opencv的库函数，进行的人脸检测的代码-This in VC++ platform below, based on the opencv library function performed face detection code
INRIAHogLbpLabel
- 本方法是hog+lbp+svm来判断是否为行人，函数库为opencv，代码为C++，hog是opencv自带的，lbp为均匀模式，59维度，训练样本为INRIA数据集-opencv lbp svm president detection inria data
8数码
- 需要说明的是：本文示例图中的目标状态在计算上是最快捷的，首先取数很方便，一般地查看目标在第i个位置上的值，则需要访问数组goal[i]，而这里goal[i]==i，故而无需访问数组；第二，要想知道数码n的目标位置，则需要找到goal[i]==n，然后row=i/3,col=i%3. 但是这里的话，row=n/3,col=n%3. 当我们用8位无符号整型来表示各个数码值(0~8)时，n/3和n%3操作是非常快的，比访问数组还快。 程序还提供一种玩游戏模式，即用户自己通过W,S,A,D四个键分